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    • Several versions

    Overview of recent ALICE results

    Lakomov Igor
    EPJ Web of conferences, 01 January 2016, Vol.125, p.01005 [Peer Reviewed Journal]

    • Several versions

    Inclusive J/psi production in p-Pb collisions at sqrt(sNN)=5.02 TeV with ALICE at the LHC

    Lakomov, Igor
    arXiv.org, Feb 5, 2014 [Peer Reviewed Journal]

    • Several versions

    Event activity dependence of inclusive J/{\psi} production in p-Pb collisions at \(\sqrt{s_{NN}}\) = 5.02 TeV with ALICE at the LHC

    Lakomov, Igor
    arXiv.org, Aug 20, 2014 [Peer Reviewed Journal]

    • Dissertation
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    Mesure de la production de J/ψ en collisions p-Pb au LHC avec le spectromètre à muons d'ALICE

    Lakomov, Igor
    theses.fr (ABES - L'agence bibliographique de l'enseignement supérieur)
    Available
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    Title: Mesure de la production de J/ψ en collisions p-Pb au LHC avec le spectromètre à muons d'ALICE
    Author: Lakomov, Igor
    Date: 19 September 2014
    Subject: J/Ψ ; Matière Nucléaire Froide ; Alice ; Spectromètre À Muons ; . P-Pb ; J/Ψ ; Cold Nuclear Matter ; Alice ; Muon Spectrometer ; . P-Pb
    Description: Les sondes dures apparaissent comme l'un des sujets les plus excitant de la Physique des hautes énergies. Les mécanismes de production des quarkonia (mésons formés par l'état lié quark-antiquark charmé ou beau) dans les collisions hadroniques sont particulièrement intéressants. La suppression du J/ψ et des autres charmonia a été prédites comme l'une des signatures de la formation du Plasma de Quark et de Gluons (PQG), suppression déjà observée au SPS et au RHIC. De nombreuses études de la suppression des charmonia ont également été menées au LHC. Cependant, d'autres effets sont susceptibles de modifier la production de charmonia sans requérir la formation d'un QGP. Ces effets, inhérents aux collisions impliquant des noyaux, sont appelés effets nucléaires froids ou CNM («Cold Nuclear Matter»). Ils peuvent être étudiés dans les collisions p-Pb. Cette thèse est dédiée à l'analyse de la production de J/ψ dans les collisions p-Pb collisions à une énergie dans le centre de masse...

    • Dissertation
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    Measurement of the J/ψ production in p-Pb collisions at the LHC with the ALICE muon spectrometer

    Lakomov, Igor
    Hyper Article en Ligne (CCSd), Hyper Article en Ligne Open Access (CCSd)
    Available
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    Title: Measurement of the J/ψ production in p-Pb collisions at the LHC with the ALICE muon spectrometer
    Author: Lakomov, Igor
    Date: 19 September 2014
    Subject: Physics ; High Energy Physics - Experiment ; Physics ; Nuclear Experiment ; . P-Pb ; Cold Nuclear Matter ; Alice ; Muon Spectrometer ; J/Ψ ; . P-Pb ; Spectromètre À Muons ; Alice ; J/Ψ ; Matière Nucléaire Froide
    Description: Hard probes represent one of the hottest topics of the modern high energy physics. The production mechanism of quarkonia (mesons composed of a charm or beauty quark and its antiquark) in hadronic collisions is of particular interest. The suppression of J/ψ and other charmonium states was predicted as one of the first signatures of the Quark Gluon Plasma (QGP) formation and was seen at RHIC and SPS. It was also studied at the LHC in Pb-Pb collisions. However, other effects can affect the charmonium production in Pb-Pb collisions without the presence of the QGP. These effects are inherent to the use of nuclei and are called «Cold Nuclear Matter» (CNM) effects. They can be studied in p-Pb collisions. This thesis is dedicated to the studies of J/ψ production in p-Pb collisions at the LHC at a center of mass energy of 5.02 TeV per nucleon pair. J/ψ production is studied as a function of transverse momentum, rapidity and event activity. These results represent a significant step...

    • Article
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    Machine Learning in High Energy Physics Community White Paper

    Albertsson, Kim, Altoe, Piero, Anderson, Dustin, Andrews, Michael, Araque Espinosa, Juan Pedro, Aurisano, Adam, Basara, Laurent, Bevan, Adrian, Bhimji, Wahid, Bonacorsi, Daniele, Calafiura, Paolo, Campanelli, Mario, Capps, Louis, Carminati, Federico, Carrazza, Stefano, Childers, Taylor, Coniavitis, Elias, Cranmer, Kyle, David, Claire, Davis, Douglas, Duarte, Javier, Erdmann, Martin, Eschle, Jonas, Farbin, Amir, Feickert, Matthew, Filipe Castro, Nuno, Fitzpatrick, Conor, Floris, Michele, Forti, Alessandra, Garra - Tico, Jordi, Gemmler, Jochen, Girone, Maria, Glaysher, Paul, Gleyzer, Sergei, Gligorov, Vladimir, Golling, Tobias, Graw, Jonas, Gray, Lindsey, Greenwood, Dick, Hacker, Thomas, Harvey, John, Hegner, Benedikt, Heinrich, Lukas, Hooberman, Ben, Junggeburth, Johannes, Kagan, Michael, Kane, Meghan, Kanishchev, Konstantin, Karpiński, Przemysław, Kassabov, Zahari, Kaul, Gaurav, Kcira, Dorian, Keck, Thomas, Klimentov, Alexei, Kowalkowski, Jim, Kreczko, Luke, Kurepin, Alexander, Kutschke, Rob, Kuznetsov, Valentin, Köhler, Nicolas, Lakomov, Igor, Lannon, Kevin, Lassnig, Mario, Limosani, Antonio, Louppe, Gilles, Mangu, Aashrita, Mato, Pere, Meenakshi, Narain, Meinhard, Helge, Menasce, Dario, Moneta, Lorenzo, Moortgat, Seth, Neubauer, Mark, Newman, Harvey, Pabst, Hans, Paganini, Michela, Paulini, Manfred, Perdue, Gabriel, Perez, Uzziel, Picazio, Attilio, Pivarski, Jim, Prosper, Harrison, Psihas, Fernanda, Radovic, Alexander, Reece, Ryan, Rinkevicius, Aurelius, Rodrigues, Eduardo, Rorie, Jamal, Rousseau, David, Sauers, Aaron, Schramm, Steven, Schwartzman, Ariel, Severini, Horst, Seyfert, Paul, Siroky, Filip, Skazytkin, Konstantin, Sokoloff, Mike, Stewart, Graeme, Stienen, Bob, Stockdale, Ian, Strong, Giles, Thais, Savannah, Tomko, Karen, Upfal, Eli, Usai, Emanuele, Ustyuzhanin, Andrey, Vala, Martin, Vallecorsa, Sofia, Verzetti, Mauro, Vilasís - Cardona, Xavier, Vlimant, Jean - Roch, Vukotic, Ilija, Wang, Sean - Jiun, Watts, Gordon, Williams, Michael, Wu, Wenjing, Wunsch, Stefan, Zapata, Omar
    Machine Learning in High Energy Physics Community White Paper. Journal of Physics. Conference Series, 1085., United KingdomInstitute of Physics. (2018).
    ORBi (Open Repository and Bibliography), University of Liège
    Available
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    Title: Machine Learning in High Energy Physics Community White Paper
    Author: Albertsson, Kim; Altoe, Piero; Anderson, Dustin; Andrews, Michael; Araque Espinosa, Juan Pedro; Aurisano, Adam; Basara, Laurent; Bevan, Adrian; Bhimji, Wahid; Bonacorsi, Daniele; Calafiura, Paolo; Campanelli, Mario; Capps, Louis; Carminati, Federico; Carrazza, Stefano; Childers, Taylor; Coniavitis, Elias; Cranmer, Kyle; David, Claire; Davis, Douglas; Duarte, Javier; Erdmann, Martin; Eschle, Jonas; Farbin, Amir; Feickert, Matthew; Filipe Castro, Nuno; Fitzpatrick, Conor; Floris, Michele; Forti, Alessandra; Garra - Tico, Jordi; Gemmler, Jochen; Girone, Maria; Glaysher, Paul; Gleyzer, Sergei; Gligorov, Vladimir; Golling, Tobias; Graw, Jonas; Gray, Lindsey; Greenwood, Dick; Hacker, Thomas; Harvey, John; Hegner, Benedikt; Heinrich, Lukas; Hooberman, Ben; Junggeburth, Johannes; Kagan, Michael; Kane, Meghan; Kanishchev, Konstantin; Karpiński, Przemysław; Kassabov, Zahari; Kaul, Gaurav; Kcira, Dorian; Keck, Thomas; Klimentov, Alexei; Kowalkowski, Jim; Kreczko, Luke; Kurepin, Alexander; Kutschke, Rob; Kuznetsov, Valentin; Köhler, Nicolas; Lakomov, Igor; Lannon, Kevin; Lassnig, Mario; Limosani, Antonio; Louppe, Gilles; Mangu, Aashrita; Mato, Pere; Meenakshi, Narain; Meinhard, Helge; Menasce, Dario; Moneta, Lorenzo; Moortgat, Seth; Neubauer, Mark; Newman, Harvey; Pabst, Hans; Paganini, Michela; Paulini, Manfred; Perdue, Gabriel; Perez, Uzziel; Picazio, Attilio; Pivarski, Jim; Prosper, Harrison; Psihas, Fernanda; Radovic, Alexander; Reece, Ryan; Rinkevicius, Aurelius; Rodrigues, Eduardo; Rorie, Jamal; Rousseau, David; Sauers, Aaron; Schramm, Steven; Schwartzman, Ariel; Severini, Horst; Seyfert, Paul; Siroky, Filip; Skazytkin, Konstantin; Sokoloff, Mike; Stewart, Graeme; Stienen, Bob; Stockdale, Ian; Strong, Giles; Thais, Savannah; Tomko, Karen; Upfal, Eli; Usai, Emanuele; Ustyuzhanin, Andrey; Vala, Martin; Vallecorsa, Sofia; Verzetti, Mauro; Vilasís - Cardona, Xavier; Vlimant, Jean - Roch; Vukotic, Ilija; Wang, Sean - Jiun; Watts, Gordon; Williams, Michael; Wu, Wenjing; Wunsch, Stefan; Zapata, Omar
    Date: 2018
    Subject: Physics - Computational Physics ; Computer Science - Machine Learning ; High Energy Physics - Experiment ; Statistics - Machine Learning ; Physical, Chemical, Mathematical & Earth Sciences :: Physics ; Physique, Chimie, Mathématiques & Sciences De La Terre :: Physique
    Description: Machine learning is an important research area in particle physics, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by an explosion of applications in particle and event identification and reconstruction in the 2010s. In this document we discuss promising future research and development areas in machine learning in particle physics with a roadmap for their implementation, software and hardware resource requirements, collaborative initiatives with the data science community, academia and industry, and training the particle physics community in data science. The main objective of the document is to connect and motivate these areas of research and development with the physics drivers of the High-Luminosity Large Hadron Collider and future neutrino experiments and identify the resource needs for their implementation. Additionally we identify areas where collaboration with external communities will be of great benefit.
    Peer reviewed
    Is part of: Machine Learning in High Energy Physics Community White Paper. Journal of Physics. Conference Series, 1085., United KingdomInstitute of Physics. (2018).

    • Article
    Select

    Machine Learning in High Energy Physics Community White Paper

    Albertsson, Kim, Altoe, Piero, Anderson, Dustin, Anderson, John, Andrews, Michael, Espinosa, Juan Pedro Araque, Aurisano, Adam, Basara, Laurent, Bevan, Adrian, Bhimji, Wahid, Bonacorsi, Daniele, Burkle, Bjorn, Calafiura, Paolo, Campanelli, Mario, Capps, Louis, Carminati, Federico, Carrazza, Stefano, Chen, Yi-Fan, Childers, Taylor, Coadou, Yann, Coniavitis, Elias, Cranmer, Kyle, David, Claire, Davis, Douglas, De Simone, Andrea, Duarte, Javier, Erdmann, Martin, Eschle, Jonas, Farbin, Amir, Feickert, Matthew, Castro, Nuno Filipe, Fitzpatrick, Conor, Floris, Michele, Forti, Alessandra, Garra-Tico, Jordi, Gemmler, Jochen, Girone, Maria, Glaysher, Paul, Gleyzer, Sergei, Gligorov, Vladimir, Golling, Tobias, Graw, Jonas, Gray, Lindsey, Greenwood, Dick, Hacker, Thomas, Harvey, John, Hegner, Benedikt, Heinrich, Lukas, Heintz, Ulrich, Hooberman, Ben, Junggeburth, Johannes, Kagan, Michael, Kane, Meghan, Kanishchev, Konstantin, Karpiński, Przemysław, Kassabov, Zahari, Kaul, Gaurav, Kcira, Dorian, Keck, Thomas, Klimentov, Alexei, Kowalkowski, Jim, Kreczko, Luke, Kurepin, Alexander, Kutschke, Rob, Kuznetsov, Valentin, Köhler, Nicolas, Lakomov, Igor, Lannon, Kevin, Lassnig, Mario, Limosani, Antonio, Louppe, Gilles, Mangu, Aashrita, Mato, Pere, Meenakshi, Narain, Meinhard, Helge, Menasce, Dario, Moneta, Lorenzo, Moortgat, Seth, Neubauer, Mark, Newman, Harvey, Otten, Sydney, Pabst, Hans, Paganini, Michela, Paulini, Manfred, Perdue, Gabriel, Perez, Uzziel, Picazio, Attilio, Pivarski, Jim, Prosper, Harrison, Psihas, Fernanda, Radovic, Alexander, Reece, Ryan, Rinkevicius, Aurelius, Rodrigues, Eduardo, Rorie, Jamal, Rousseau, David, Sauers, Aaron, Schramm, Steven, Schwartzman, Ariel, Severini, Horst, Seyfert, Paul, Siroky, Filip, Skazytkin, Konstantin, Sokoloff, Mike, Stewart, Graeme, Stienen, Bob, Stockdale, Ian, Strong, Giles, Sun, Wei, Thais, Savannah, Tomko, Karen, Upfal, Eli, Usai, Emanuele, Ustyuzhanin, Andrey, Vala, Martin, Vasel, Justin, Vallecorsa, Sofia, Verzetti, Mauro, Vilasís-Cardona, Xavier, Vlimant, Jean-Roch, Vukotic, Ilija, Wang, Sean-Jiun, Watts, Gordon, Williams, Michael, Wu, Wenjing, Wunsch, Stefan, Yang, Kun, Zapata, Omar
    Cornell University
    Available
    More…
    Title: Machine Learning in High Energy Physics Community White Paper
    Author: Albertsson, Kim; Altoe, Piero; Anderson, Dustin; Anderson, John; Andrews, Michael; Espinosa, Juan Pedro Araque; Aurisano, Adam; Basara, Laurent; Bevan, Adrian; Bhimji, Wahid; Bonacorsi, Daniele; Burkle, Bjorn; Calafiura, Paolo; Campanelli, Mario; Capps, Louis; Carminati, Federico; Carrazza, Stefano; Chen, Yi-Fan; Childers, Taylor; Coadou, Yann; Coniavitis, Elias; Cranmer, Kyle; David, Claire; Davis, Douglas; De Simone, Andrea; Duarte, Javier; Erdmann, Martin; Eschle, Jonas; Farbin, Amir; Feickert, Matthew; Castro, Nuno Filipe; Fitzpatrick, Conor; Floris, Michele; Forti, Alessandra; Garra-Tico, Jordi; Gemmler, Jochen; Girone, Maria; Glaysher, Paul; Gleyzer, Sergei; Gligorov, Vladimir; Golling, Tobias; Graw, Jonas; Gray, Lindsey; Greenwood, Dick; Hacker, Thomas; Harvey, John; Hegner, Benedikt; Heinrich, Lukas; Heintz, Ulrich; Hooberman, Ben; Junggeburth, Johannes; Kagan, Michael; Kane, Meghan; Kanishchev, Konstantin; Karpiński, Przemysław; Kassabov, Zahari; Kaul, Gaurav; Kcira, Dorian; Keck, Thomas; Klimentov, Alexei; Kowalkowski, Jim; Kreczko, Luke; Kurepin, Alexander; Kutschke, Rob; Kuznetsov, Valentin; Köhler, Nicolas; Lakomov, Igor; Lannon, Kevin; Lassnig, Mario; Limosani, Antonio; Louppe, Gilles; Mangu, Aashrita; Mato, Pere; Meenakshi, Narain; Meinhard, Helge; Menasce, Dario; Moneta, Lorenzo; Moortgat, Seth; Neubauer, Mark; Newman, Harvey; Otten, Sydney; Pabst, Hans; Paganini, Michela; Paulini, Manfred; Perdue, Gabriel; Perez, Uzziel; Picazio, Attilio; Pivarski, Jim; Prosper, Harrison; Psihas, Fernanda; Radovic, Alexander; Reece, Ryan; Rinkevicius, Aurelius; Rodrigues, Eduardo; Rorie, Jamal; Rousseau, David; Sauers, Aaron; Schramm, Steven; Schwartzman, Ariel; Severini, Horst; Seyfert, Paul; Siroky, Filip; Skazytkin, Konstantin; Sokoloff, Mike; Stewart, Graeme; Stienen, Bob; Stockdale, Ian; Strong, Giles; Sun, Wei; Thais, Savannah; Tomko, Karen; Upfal, Eli; Usai, Emanuele; Ustyuzhanin, Andrey; Vala, Martin; Vasel, Justin; Vallecorsa, Sofia; Verzetti, Mauro; Vilasís-Cardona, Xavier; Vlimant, Jean-Roch; Vukotic, Ilija; Wang, Sean-Jiun; Watts, Gordon; Williams, Michael; Wu, Wenjing; Wunsch, Stefan; Yang, Kun; Zapata, Omar
    Subject: Physics - Computational Physics ; Computer Science - Machine Learning ; High Energy Physics - Experiment ; Statistics - Machine Learning
    Description: Machine learning has been applied to several problems in particle physics research, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by an explosion of applications in particle and event identification and reconstruction in the 2010s. In this document we discuss promising future research and development areas for machine learning in particle physics. We detail a roadmap for their implementation, software and hardware resource requirements, collaborative initiatives with the data science community, academia and industry, and training the particle physics community in data science. The main objective of the document is to connect and motivate these areas of research and development with the physics drivers of the High-Luminosity Large Hadron Collider and future neutrino experiments and identify the resource needs for their implementation. Additionally we identify areas where collaboration with external communities will be of great benefit. Comment: Editors: Sergei Gleyzer, Paul Seyfert and Steven Schramm
    Identifier: 1807.02876 (ARXIV ID)

    • Several versions

    Measurement of prompt J/ ψ and beauty hadron production cross sections at mid-rapidity in pp collisions at $ \sqrt{s}=7 $ TeV

    Abelev, Betty, Adam, Jaroslav, Adamova, Dagmar, Adare, Andrew, Aggarwal, Madan, Rinella, Gianluca, Agocs, Andras, Agostinelli, Andrea, Salazar, Saul, Ahammed, Zubayer, Ahmad, Arshad, Ahmad, Nazeer, Ahn, Sul-Ah, Ahn, Sang, Akindinov, Alexander, Aleksandrov, Dmitry, Alessandro, Bruno, Molina, Jose, Alici, Andrea, Alkin, Anton, Avina, Erick, Alme, Johan, Alt, Torsten, Altini, Valerio, Altinpinar, Sedat, Altsybeev, Igor, Andrei, Cristian, Andronic, Anton, Anguelov, Venelin, Anielski, Jonas, Anson, Christopher, Anticic, Tome, Antinori, Federico, Antonioli, Pietro, Aphecetche, Laurent, Appelshauser, Harald, Arbor, Nicolas, Arcelli, Silvia, Arend, Andreas, Armesto, Nestor, Arnaldi, Roberta, Aronsson, Tomas, Arsene, Ionut, Arslandok, Mesut, Asryan, Andzhey, Augustinus, Andre, Averbeck, Ralf, Awes, Terry, Aysto, Juha, Azmi, Mohd, Bach, Matthias, Badala, Angela, Baek, Yong, Bailhache, Raphaelle, Bala, Renu, Ferroli, Rinaldo, Baldisseri, Alberto, Baldit, Alain, Santos Pedrosa, Fernando, Ban, Jaroslav, Baral, Rama, Barbera, Roberto, Barile, Francesco, Barnafoldi, Gergely, Barnby, Lee, Barret, Valerie, Bartke, Jerzy, Basile, Maurizio, Bastid, Nicole, Basu, Sumit, Bathen, Bastian, Batigne, Guillaume, Batyunya, Boris, Baumann, Christoph, Bearden, Ian, Beck, Hans, Behera, Nirbhay, Belikov, Iouri, Bellini, Francesca, Bellwied, Rene, Belmont-Moreno, Ernesto, Bencedi, Gyula, Beole, Stefania, Berceanu, Ionela, Bercuci, Alexandru, Berdnikov, Yaroslav, Berenyi, Daniel, Bergognon, Anais, Berzano, Dario, Betev, Latchezar, Bhasin, Anju, Bhati, Ashok, Bhom, Jihyun, Bianchi, Livio, Bianchi, Nicola, Bianchin, Chiara, Bielcik, Jaroslav, Bielcikova, Jana, Bilandzic, Ante, Bjelogrlic, Sandro, Blanco, F., Blanco, Francesco, Blau, Dmitry, Blume, Christoph, Boccioli, Marco, Bock, Nicolas, Boettger, Stefan, Bogdanov, Alexey, Boggild, Hans, Bogolyubsky, Mikhail, Boldizsar, Laszlo, Bombara, Marek, Book, Julian, Borel, Herve, Borissov, Alexander, Bose, Suvendu, Bossu, Francesco, Botje, Michiel, Boyer, Bruno, Braidot, Ermes, Braun-Munzinger, Peter, Bregant, Marco, Breitner, Timo, Browning, Tyler, Broz, Michal, Brun, Rene, Bruna, Elena, Bruno, Giuseppe, Budnikov, Dmitry, Buesching, Henner, Bufalino, Stefania, Bugaiev, Kyrylo, Busch, Oliver, Buthelezi, Edith, Orduna, Diego, Caffarri, Davide, Cai, Xu, Caines, Helen, Villar, Ernesto, Camerini, Paolo, Roman, Veronica, Romeo, Giovanni, Carena, Francesco, Carena, Wisla, Filho, Nelson, Carminati, Federico, Montoya, Camilo, Diaz, Amaya, Castellanos, Javier, Hernandez, Juan, Casula, Ester, Catanescu, Vasile, Cavicchioli, Costanza, Sanchez, Cesar, Cepila, Jan, Cerello, Piergiorgio, Chang, Beomsu, Chapeland, Sylvain, Charvet, Jean-Luc, Chattopadhyay, Subhasis, Chattopadhyay, Sukalyan, Chawla, Isha, Cherney, Michael, Cheshkov, Cvetan, Cheynis, Brigitte, Barroso, Vasco, Chinellato, David, Chochula, Peter, Chojnacki, Marek, Choudhury, Subikash, Christakoglou, Panagiotis, Christensen, Christian, Christiansen, Peter, Chujo, Tatsuya, Chung, Suh-Urk, Cicalo, Corrado, Cifarelli, Luisa, Cindolo, Federico, Cleymans, Jean, Coccetti, Fabrizio, Colamaria, Fabio, Colella, Domenico, Balbastre, Gustavo, Valle, Zaida, Constantin, Paul, Contin, Giacomo, Contreras, Jesus, Cormier, Thomas, Morales, Yasser, Cortese, Pietro, Maldonado, Ismael, Cosentino, Mauro, Costa, Filippo, Cotallo, Manuel, Crescio, Elisabetta, Crochet, Philippe, Alaniz, Emilia, Cuautle, Eleazar, Cunqueiro, Leticia, Dainese, Andrea, Dalsgaard, Hans, Danu, Andrea, Das, Debasish, Das, Indranil, Das, Kushal, Dash, Sadhana, Dash, Ajay, De, Sudipan, Barros, Gabriel, Caro, Annalisa, Cataldo, Giacinto, Cuveland, Jan, Falco, Alessandro, Gruttola, Daniele, Delagrange, Hugues, Deloff, Andrzej, Demanov, Vyacheslav, Marco, Nora, Denes, Ervin, Pasquale, Salvatore, Deppman, Airton, D’Erasmo, Ginevra, Rooij, Raoul, Corchero, Miguel, Bari, Domenico, Giglio, Carmelo, Dietel, Thomas, Liberto, Sergio, Mauro, Antonio, Nezza, Pasquale, Divia, Roberto, Djuvsland, Oeystein, Dobrin, Alexandru, Dobrowolski, Tadeusz, Dominguez, Isabel, Donigus, Benjamin, Dordic, Olja, Driga, Olga, Dubey, Anand, Ducroux, Laurent, Dupieux, Pascal, Majumdar, Mihir, Majumdar, A., Elia, Domenico, Emschermann, David, Engel, Heiko, Erdal, Hege, Espagnon, Bruno, Estienne, Magali, Esumi, Shinichi, Evans, David, Eyyubova, Gyulnara, Fabris, Daniela, Faivre, Julien, Falchieri, Davide, Fantoni, Alessandra, Fasel, Markus, Fearick, Roger, Fedunov, Anatoly, Fehlker, Dominik, Feldkamp, Linus, Felea, Daniel, Fenton-Olsen, Bo, Feofilov, Grigory, Tellez, Arturo, Ferretti, Alessandro, Ferretti, Roberta, Figiel, Jan, Figueredo, Marcel, Filchagin, Sergey, Finogeev, Dmitry, Fionda, Fiorella, Fiore, Enrichetta, Floris, Michele, Foertsch, Siegfried, Foka, Panagiota, Fokin, Sergey, Fragiacomo, Enrico, Frankenfeld, Ulrich, Fuchs, Ulrich, Furget, Christophe, Girard, Mario, Gaardhoje, Jens, Gagliardi, Martino, Gago, Alberto, Gallio, Mauro, Gangadharan, Dhevan, Ganoti, Paraskevi, Garabatos, Jose, Garcia-Solis, Edmundo, Garishvili, Irakli, Gerhard, Jochen, Germain, Marie, Geuna, Claudio, Gheata, Andrei, Gheata, Mihaela, Ghidini, Bruno, Ghosh, Premomoy, Gianotti, Paola, Girard, Martin, Giubellino, Paolo, Gladysz-Dziadus, Ewa, Glassel, Peter, Gomez, Ramon, Gonschior, Alexey, Ferreiro, Elena, Gonzalez-Trueba, Laura, Gonzalez-Zamora, Pedro, Gorbunov, Sergey, Goswami, Ankita, Gotovac, Sven, Grabski, Varlen, Graczykowski, Lukasz, Grajcarek, Robert, Grelli, Alessandro, Grigoras, Costin, Grigoras, Alina, Grigoriev, Vladislav, Grigoryan, Ara, Grigoryan, Smbat, Grinyov, Boris, Grion, Nevio, Gros, Philippe, Grosse-Oetringhaus, Jan, Grossiord, Jean-Yves, Grosso, Raffaele, Guber, Fedor, Guernane, Rachid, Gutierrez, Cesar, Guerzoni, Barbara, Guilbaud, Maxime, Gulbrandsen, Kristjan, Gunji, Taku, Gupta, Anik, Gupta, Ramni, Gutbrod, Hans, Haaland, Oystein, Hadjidakis, Cynthia, Haiduc, Maria, Hamagaki, Hideki, Hamar, Gergoe, Han, Byounghee, Hanratty, Luke, Hansen, Alexander, Harmanova, Zuzana, Harris, John, Hartig, Matthias, Hasegan, Dumitru, Hatzifotiadou, Despoina, Hayrapetyan, Arsen, Heckel, Stefan, Heide, Markus, Helstrup, Haavard, Herghelegiu, Andrei, Corral, Gerardo, Herrmann, Norbert, Hess, Benjamin, Hetland, Kristin, Hicks, Bernard, Hille, Per, Hippolyte, Boris, Horaguchi, Takuma, Hori, Yasuto, Hristov, Peter, Hrivnacova, Ivana, Huang, Meidana, Humanic, Thomas, Hwang, Dae, Ichou, Raphaelle, Ilkaev, Radiy, Ilkiv, Iryna, Inaba, Motoi, Incani, Elisa, Innocenti, Gian, Innocenti, Pier, Ippolitov, Mikhail, Irfan, Muhammad, Ivan, Cristian, Ivanov, Vladimir, Ivanov, Marian, Ivanov, Andrey, Ivanytskyi, Oleksii, Jacholkowski, Adam, Jacobs, Peter, Jang, Haeng, Jangal, Swensy, Janik, Malgorzata, Janik, Rudolf, Jayarathna, Sandun, Jena, Satyajit, Jha, Deeptanshu, Bustamante, Raul, Jirden, Lennart, Jones, Peter, Jung, Hyung, Jusko, Anton, Kaidalov, Alexei, Kakoyan, Vanik, Kalcher, Sebastian, Kalinak, Peter, Kalliokoski, Tuomo, Kalweit, Alexander, Kanaki, Kalliopi, Kang, Ju, Kaplin, Vladimir, Uysal, Ayben, Karavichev, Oleg, Karavicheva, Tatiana, Karpechev, Evgeny, Kazantsev, Andrey, Kebschull, Udo, Keidel, Ralf, Khan, Palash, Khan, Mohisin, Khan, Shuaib, Khanzadeev, Alexei, Kharlov, Yury, Kileng, Bjarte, Kim, Do, Kim, Mimae, Kim, Minwoo, Kim, Seon, Kim, Dong, Kim, Se, Kim, Jonghyun, Kim, Jin, Kim, Beomkyu, Kim, Taesoo, Kirsch, Stefan, Kisel, Ivan, Kiselev, Sergey, Kisiel, Adam, Klay, Jennifer, Klein, Jochen, Klein-Bosing, Christian, Kliemant, Michael, Kluge, Alexander, Knichel, Michael, Knospe, Anders, Koch, Kathrin, Kohler, Markus, Kolojvari, Anatoly, Kondratiev, Valery, Kondratyeva, Natalia, Konevskih, Artem, Korneev, Andrey, Kour, Ravjeet, Kowalski, Marek, Kox, Serge, Meethaleveedu, Greeshma, Kral, Jiri, Kralik, Ivan, Kramer, Frederick, Kraus, Ingrid, Krawutschke, Tobias, Krelina, Michal, Kretz, Matthias, Krivda, Marian, Krizek, Filip, Krus, Miroslav, Kryshen, Evgeny, Krzewicki, Mikolaj, Kucheriaev, Yury, Kuhn, Christian, Kuijer, Paul, Kulakov, Igor, Kumar, Jitendra, Kurashvili, Podist, Kurepin, A., Kurepin, A., Kuryakin, Alexey, Kushpil, Vasily, Kushpil, Svetlana, Kvaerno, Henning, Kweon, Min, Kwon, Youngil, Guevara, Pedro, Lakomov, Igor, Langoy, Rune, Pointe, Sarah, Lara, Camilo, Lardeux, Antoine, Rocca, Paola, Lazzeroni, Cristina, Lea, Ramona, Bornec, Yves, Lechman, Mateusz, Lee, Sung, Lee, Ki, Lee, Graham, Lefevre, Frederic, Lehnert, Joerg, Leistam, Lars, Lenhardt, Matthieu, Lenti, Vito, Leon, Hermes, Leoncino, Marco, Monzon, Ildefonso, Vargas, Hermes, Levai, Peter, Lien, Jorgen, Lietava, Roman, Lindal, Svein, Lindenstruth, Volker, Lippmann, Christian, Lisa, Michael, Liu, Lijiao, Loenne, Per-Ivar, Loggins, Vera, Loginov, Vitaly, Lohn, Stefan, Lohner, Daniel, Loizides, Constantinos, Loo, Kai, Lopez, Xavier, Torres, Ernesto, Lovhoiden, Gunnar, Lu, Xianguo, Luettig, Philipp, Lunardon, Marcello, Luo, Jiebin, Luparello, Grazia, Luquin, Lionel, Luzzi, Cinzia, Ma, Rongrong, Ma, Ke, Madagodahettige-Don, Dilan, Maevskaya, Alla, Mager, Magnus, Mahapatra, Durga, Maire, Antonin, Malaev, Mikhail, Cervantes, Ivonne, Malinina, Ludmila, Mal’Kevich, Dmitry, Malzacher, Peter, Mamonov, Alexander, Manceau, Loic, Mangotra, Lalit, Manko, Vladislav, Manso, Franck, Manzari, Vito, Mao, Yaxian, Marchisone, Massimiliano, Mares, Jiri, Margagliotti, Giacomo, Margotti, Anselmo, Marin, Ana, Tobon, Cesar, Markert, Christina, Martashvili, Irakli, Martinengo, Paolo, Martinez, Mario, Davalos, Arnulfo, Garcia, Gines, Martynov, Yevgen, Mas,...
    Journal of High Energy Physics, 2012, Vol.2012(11), pp.1-31 [Peer Reviewed Journal]

    • Several versions

    Underlying Event measurements in pp collisions at $ \sqrt {s} = 0.9 $ and 7 TeV with the ALICE experiment at the LHC

    Abelev, Betty, Quintana, Arian, Adamova, Dagmar, Adare, Andrew, Aggarwal, Madan, Rinella, Gianluca, Agocs, Andras, Agostinelli, Andrea, Salazar, Saul, Ahammed, Zubayer, Ahmad, Nazeer, Ahmad, Arshad, Ahn, Sang, Akindinov, Alexander, Aleksandrov, Dmitry, Alessandro, Bruno, Molina, Jose, Alici, Andrea, Alkin, Anton, Avina, Erick, Alt, Torsten, Altini, Valerio, Altinpinar, Sedat, Altsybeev, Igor, Andrei, Cristian, Andronic, Anton, Anguelov, Venelin, Anson, Christopher, Anticic, Tome, Antinori, Federico, Antonioli, Pietro, Aphecetche, Laurent, Appelshauser, Harald, Arbor, Nicolas, Arcelli, Silvia, Arend, Andreas, Armesto, Nestor, Arnaldi, Roberta, Aronsson, Tomas, Arsene, Ionut, Arslandok, Mesut, Asryan, Andzhey, Augustinus, Andre, Averbeck, Ralf, Awes, Terry, Aysto, Juha, Azmi, Mohd, Bach, Matthias, Badala, Angela, Baek, Yong, Bailhache, Raphaelle, Bala, Renu, Ferroli, Rinaldo, Baldisseri, Alberto, Baldit, Alain, Pedrosa, Fernando, Ban, Jaroslav, Baral, Rama, Barbera, Roberto, Barile, 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Kebschull, Udo, Keidel, Ralf, Khan, Palash, Khan, Mohisin, Khan, Shuaib, Khanzadeev, Alexei, Kharlov, Yury, Kileng, Bjarte, Kim, Jonghyun, Kim, Dong, Kim, Do, Kim, Jin, Kim, Minwoo, Kim, Seon, Kim, Se, Kim, Beomkyu, Kim, Taesoo, Kirsch, Stefan, Kisel, Ivan, Kiselev, Sergey, Kisiel, Adam, Klay, Jennifer, Klein, Jochen, Klein-Bosing, Christian, Kliemant, Michael, Kluge, Alexander, Knichel, Michael, Koch, Kathrin, Kohler, Markus, Kolojvari, Anatoly, Kondratiev, Valery, Kondratyeva, Natalia, Konevskih, Artem, Korneev, Andrey, Don, Chamath, Kour, Ravjeet, Kowalski, Marek, Kox, Serge, Meethaleveedu, Greeshma, Kral, Jiri, Kralik, Ivan, Kramer, Frederick, Kraus, Ingrid, Krawutschke, Tobias, Kretz, Matthias, Krivda, Marian, Krizek, Filip, Krus, Miroslav, Kryshen, Evgeny, Krzewicki, Mikolaj, Kucheriaev, Yury, Kuhn, Christian, Kuijer, Paul, Kurashvili, Podist, Kurepin, A.B., Kurepin, A., Kuryakin, Alexey, Kushpil, Svetlana, Kushpil, Vasily, Kvaerno, Henning, Kweon, Min, Kwon, Youngil, Guevara, 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    Journal of High Energy Physics, 2012, Vol.2012(7), pp.1-43 [Peer Reviewed Journal]
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    Machine Learning in High Energy Physics Community White Paper

    Albertsson, Kim, Altoe, Piero, Anderson, Dustin, Anderson, John, Andrews, Michael, Aurisano, Adam, Basara, Laurent, Bevan, Adrian, Bhimji, Wahid, Bonacorsi, Daniele, Burkle, Bjorn, Calafiura, Paolo, Campanelli, Mario, Capps, Louis, Carminati, Federico, Carrazza, Stefano, Yi-Fan, Chen, Childers, Taylor, Coadou, Yann, Coniavitis
    arXiv.org, May 16, 2019
    © ProQuest LLC All rights reserved, Engineering Database, Publicly Available Content Database, ProQuest Engineering Collection, ProQuest Technology Collection, ProQuest SciTech Collection, Materials Science & Engineering Database, ProQuest Central (new), ProQuest Central Korea, SciTech Premium Collection, Technology Collection, ProQuest Central Essentials, ProQuest One Academic, Engineering Collection (ProQuest)
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    Title: Machine Learning in High Energy Physics Community White Paper
    Author: Albertsson, Kim; Altoe, Piero; Anderson, Dustin; Anderson, John; Andrews, Michael; Aurisano, Adam; Basara, Laurent; Bevan, Adrian; Bhimji, Wahid; Bonacorsi, Daniele; Burkle, Bjorn; Calafiura, Paolo; Campanelli, Mario; Capps, Louis; Carminati, Federico; Carrazza, Stefano; Yi-Fan, Chen; Childers, Taylor; Coadou, Yann; Coniavitis
    Contributor: Zapata, Omar (pacrepositoryorg)
    Subject: Particle Physics ; Luminosity ; Communities ; Collaboration ; Large Hadron Collider ; Machine Learning ; Research & Development–R&D ; Artificial Intelligence ; Particle Physics ; Neutrinos ; Paper Machines ; Research & Development–R&D ; Computational Physics ; Machine Learning
    Description: Machine learning has been applied to several problems in particle physics research, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by an explosion of applications in particle and event identification and reconstruction in the 2010s. In this document we discuss promising future research and development areas for machine learning in particle physics. We detail a roadmap for their implementation, software and hardware resource requirements, collaborative initiatives with the data science community, academia and industry, and training the particle physics community in data science. The main objective of the document is to connect and motivate these areas of research and development with the physics drivers of the High-Luminosity Large Hadron Collider and future neutrino experiments and identify the resource needs for their implementation. Additionally we identify areas where collaboration with external communities will be of great benefit.
    Is part of: arXiv.org, May 16, 2019
    Identifier: 2331-8422 (E-ISSN)